Although linear models are one of the simplest machine learning techniques, they are still a powerful tool for predictions. This is particularly due to the fact that linear models are especially easy to interpret. Here, I discuss the most important aspects when interpreting linear models by example of ordinary least-squares ...

Help! The same annotations go on every facet! (with thanks to a student for sending me her attempt). This is a question I get fairly often and the answer is not straightforward especially for those that are relatively new to R and ggplot2. In this post, I will show you ...

Logfile analysis allows website owners a deep insight about how Google and other search engines crawl their pages. How often does a bot come by a page, which pages are rarely or not at all visited by the bots? For which pages does the bot get errors? All these and ...

What is Cluster Analysis? Cluster analysis is a collective term for various algorithms to find group structures in data. The groups are called clusters and are usually not known a priori. In contrast, classification procedures assign the observations to already known groups (e.g., buyers and non-buyers). A classification is ...

In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an online compiler, without installing any kind of software in our computers. The other one, it can help us to solve optimization ...

In my last blogpost about Random Forests I introduced the codecentric.ai Bootcamp. The next part I published was about Neural Networks and Deep Learning. Every video of our bootcamp will have example code and tasks to promote hands-on learning. While the practical parts of the bootcamp will be using ...

I put together a series of demos for a group of epidemiology students who are studying causal mediation analysis. Since mediation analysis is not always so clear or intuitive, I thought, of course, that going through some examples of simulating data for this process could clarify things a bit. Quite ...

After more than a decade of consistent losses from rolling a long NG position, the cumulative return has been positive for the past 12 months.  This has only occurred briefly during the 'polar vortex' of early 2014 and during the 2008 commodities 'super cycle' peak. For years, long only positions in NG have ...

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Peter Bull, a data scientist for social good and co-founder of Driven Data. Here is the podcast link. Introducing Peter Bull Hugo: Hi there, Peter, and welcome to Data Framed. Peter: Thanks, Hugo. I'm happy to be here. Hugo: ...